Neuroimage-Clinical最新文献_第6页

Distinct neural mechanisms underlying cognitive difficulties in preterm children born at different stages of prematurity 不同早产阶段早产儿认知困难的不同神经机制

IF 3.6 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

Pub Date : 2025-01-01 DOI: 10.1016/j.nicl.2025.103876

Samson Nivins , Nelly Padilla , Hedvig Kvanta , Gustaf Mårtensson , Ulrika Ådén

Objectives

To examine associations between low cognitive-performance and regional-and network-level brain changes at ages 9–10 in very-preterm, moderately-preterm, and full-term children, and explore whether these alterations predict ASD/ADHD symptoms at age 12.

Methods

This longitudinal population-based study included 9–10-year-old U.S. children from ABCD Study. Children underwent brain imaging and cognitive assessment using NIH Toolbox. Cortical thickness and subcortical volumes of preterm-children with low cognitive-performance (NIH composite score < -1SD and > -2SD) were compared with preterm and full-term peers with typical performance (≥-1SD). Structural covariance networks were also examined.

Results

Among 7281 children (mean age 9.9 ± 0.6 years; 52.2 % boys), 71 were very-preterm, 151 moderately-preterm, and 7056 full-term. Low cognitive-performance was most prevalent in very-preterm children (29.6 %), followed by moderately-preterm (24.0 %) and full-term children (16.2 %).

Very-preterm children with low cognitive-performance had thinner inferior temporal cortex (β = -0.58; p = 0.03), thinner fusiform gyrus (β = -0.62; p = 0.02), and larger amygdala volumes (β = 0.41; p = 0.05) compared to very-preterm children with typical performance. Moderately-preterm children with low cognitive-performance had smaller hippocampal volumes (β = -0.32; p = 0.01). Similar patterns were observed when comparing preterm children with low cognitive-performance to full-term peers with typical performance. Structural covariance network analysis revealed stronger covariance between the precuneus-postcentral gyrus pair among moderately-preterm children with low cognitive-performance. Individualized Differential Structural Covariance Network values extracted from this pair were positively associated with ASD/ADHD symptoms, though not statistically significance.

Conclusion

Low cognitive performance in preterm children is associated with distinct regional and network-level brain differences, differing by prematurity. Stronger hub covariance may reflect compensatory mechanisms, highlighting the need for prematurity-tailored interventions.

目的研究9-10岁极早产、中度早产和足月儿童的低认知表现与区域和网络水平的大脑变化之间的关系，并探讨这些变化是否能预测12岁时的ASD/ADHD症状。方法本纵向人群研究包括来自ABCD研究的9 - 10岁美国儿童。使用NIH工具箱对儿童进行脑成像和认知评估。将认知表现低的早产儿（NIH综合评分<； -1SD和>； -2SD）的皮质厚度和皮质下体积与表现典型的早产儿和足月儿童（≥-1SD）的皮质厚度和皮质下体积进行比较。结构协方差网络也进行了检验。结果7281例患儿（平均年龄9.9±0.6岁，男孩占52.2%），重度早产71例，中度早产151例，足月7056例。认知能力低下在极早产儿中最为普遍（29.6%），其次是中度早产儿（24.0%）和足月儿童（16.2%）。认知能力低下的极早产儿与表现正常的极早产儿相比，下颞叶皮层更薄（β = -0.58; p = 0.03），梭状回更薄（β = -0.62; p = 0.02），杏仁核体积更大（β = 0.41; p = 0.05）。认知能力低下的中度早产儿海马体积较小（β = -0.32; p = 0.01）。在比较认知能力低下的早产儿和表现正常的足月儿童时，也观察到类似的模式。结构协方差网络分析显示，认知能力低下的中度早产儿童楔前脑-后脑回对之间存在较强的协方差。从这对中提取的个体化差异结构协方差网络值与ASD/ADHD症状呈正相关，但无统计学意义。结论早产儿认知能力低下与脑区域和脑网络水平的差异有关，且因早产而异。较强的中心协方差可能反映了补偿机制，强调了针对早产儿的干预措施的必要性。

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引用次数: 0

Abnormal myelin could be a mediator of childhood-trauma-induced depression: A quantitative synthetic MRI study 髓磷脂异常可能是儿童创伤性抑郁的中介：一项定量合成MRI研究

IF 3.6 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

Pub Date : 2025-01-01 DOI: 10.1016/j.nicl.2025.103890

Junyan Wen , Shuqiong Zheng , Zhimin Chen , Xuecong Lin , Shanshan Yang , Wei Cui , Liaoming Gao , Ziqi Wu , Liya Gong , Zhujia Li , Ying Guo , Yanyu Hao , Mingxuan Gao , Jingwen Luo , Linlin Jing , Honglei Yin , Ge Wen

Objectives

Major depressive disorder (MDD) is a prevalent mental illness with unclear underlying pathophysiology that is often linked to childhood trauma. Emerging evidence suggests a potential association between myelin abnormalities and depression, highlighting the need for further understanding of these neurobiological connections in MDD patients. This study investigated the mediating role of abnormal myelin in the pathophysiology of MDD induced by childhood trauma via quantitative Synthetic Magnetic Resonance Imaging (SyMRI) technique.

Methods

MDD patients and healthy controls underwent SyMRI scanning to assess myelin content, T1, T2 and proton density (PD) values in the brain. Statistical analyses compared these values between groups and correlated them with clinical symptom scores. Mediation analysis was used to determine the role of myelin content in the relationship between childhood trauma and clinical symptoms.

Results

Thirty-five MDD patients (median age, 23[18–34] years, 7 men) and forty-nine healthy controls (median age, 24[21–35] years, 18 men) were included. Compared with healthy controls, MDD patients presented significantly lower myelin content (FDR-corrected p < 0.05; Cohen’s d = -0.85 − −0.75) and higher PD values (FDR-corrected p < 0.05; Cohen’s d = 0.71–0.94) in the left inferior frontal sulcus, left caudal area 45, left medial area 14, left rostral area 7, left lateral area 5, left ventral dysgranular and granular insula, and left nucleus accumbens. The T1 and T2 values were not significantly different (FDR-corrected p > 0.05). A lower myelin content was significantly correlated with higher depression and anxiety scores (p < 0.05; R = 0.1309–0.2550). A myelin reduction in the left lateral area 5 and left ventral dysgranular and granular insula mediated the association between childhood trauma and MDD symptoms (p < 0.05; β = 0.0643–0.0807).

Conclusion

Our findings suggest that reduced myelin content in the left lateral area 5 and left ventral dysgranular and granular insula, due to childhood trauma, mediated 6.4% to 8.1% of the variance of MDD. However, the cross-sectional design limits causal inference, and the influence of comorbid anxiety was not controlled.

目的重度抑郁障碍（MDD）是一种普遍存在的精神疾病，其病理生理机制尚不清楚，常与童年创伤有关。新出现的证据表明髓磷脂异常和抑郁之间存在潜在的联系，强调需要进一步了解MDD患者的这些神经生物学联系。本研究通过定量合成磁共振成像（SyMRI）技术探讨髓磷脂异常在儿童创伤所致重度抑郁症病理生理中的介导作用。方法对smdd患者和健康对照者进行SyMRI扫描，评估脑内髓磷脂含量、T1、T2和质子密度（PD）值。统计分析比较各组之间的这些值，并将其与临床症状评分相关联。采用中介分析来确定髓磷脂含量在儿童创伤与临床症状之间的关系中的作用。结果纳入35例重度抑郁症患者（中位年龄23[18 - 34]岁，男性7例）和49例健康对照（中位年龄24[21-35]岁，男性18例）。与健康对照组相比，MDD患者在左侧额下沟、左侧尾侧区45、左侧内侧区14、左侧吻侧区7、左侧外侧区5、左侧腹侧颗粒异常和颗粒状岛、左侧伏隔核的髓鞘含量显著降低（fdr校正p <； 0.05; Cohen’s d = -0.85 ~ - 0.75）， PD值显著升高（fdr校正p <； 0.05; Cohen’s d = 0.71 ~ 0.94）。T1和T2值无显著差异（经fdr校正p >； 0.05）。髓磷脂含量越低，抑郁和焦虑评分越高（p < 0.05; R = 0.1309-0.2550）。左侧外侧5区髓磷脂减少和左侧腹侧颗粒异常和颗粒岛介导了童年创伤与MDD症状之间的关联（p < 0.05; β = 0.0643-0.0807）。结论童年创伤导致的左侧外侧5区、左侧腹侧颗粒异常和颗粒状岛髓磷脂含量减少，介导了6.4%至8.1%的MDD变异。然而，横断面设计限制了因果推断，并且未控制共病焦虑的影响。

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引用次数: 0

Dynamic topological changes of the motor network after stroke 脑卒中后运动网络的动态拓扑变化

IF 3.6 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

Pub Date : 2025-01-01 DOI: 10.1016/j.nicl.2025.103907

Antonello Baldassarre , Roberto Guidotti , Vittorio Pizzella , Mario Stampanoni Bassi , Luigi Pavone , Giorgia Committeri , Stefano L. Sensi , Risto J. Ilmoniemi , Ulf Ziemann , Gian Luca Romani , Laura Marzetti

Background

Previous studies indicated that motor stroke is characterized by changes in the motor system’s resting-state functional connectivity and functional topology. Furthermore, recent reports have shown that time-varying connectivity among motor areas is crucial for motor impairment and its recovery. Yet, it is unknown to what extent the topological organization of the motor network exhibits temporal dynamics that might be clinically relevant for the motor deficit after motor stroke.

Objective

We combined a graph-theoretic approach and dynamic functional connectivity MRI to identify dynamic central motor nodes, that is motor areas whose time-varying topological properties are associated with motor impairment, and to characterize the dynamic interactions among regions of the motor system after stroke.

Methods

Resting-state fMRI data were collected from a cohort of twenty acute right-hemispheric stroke patients (17 ischemic/3 hemorrhagic) exhibiting NIHSS scores ranging from 1 to 22 (mean=10.05; SD=5.58). Dynamic functional connectivity was estimated using a sliding window approach applied to regions of the motor network. Next, time-varying nodal betweenness centrality, defined as the portion of all shortest paths in the network involving such a node, was computed at each sliding window. Then, dynamic central motor nodes were characterized by correlating the amount of time that a given node exhibited high centrality (i.e., high centrality mode) with the degree of the upper limb impairment. Finally, the time-varying topological interactions within the motor network were investigated by characterizing its shortest paths.

Results

A dynamic central motor node was identified in a region located within the ipsilesional primary cortex, namely the anterior wall of the ventral central sulcus (vCS). Specifically, severely impaired patients exhibited shorter stays in high centrality mode than less affected patients. Furthermore, upper limb impairment was associated with a dynamic network profile characterized by low functional connections among such a dynamic central motor node and a set of regions located in the central sulcus and supplementary motor area of the left hemisphere, as well as in the right cerebellum.

Conclusions

The current results indicate that acute motor stroke with upper limb impairment affects the time-varying topological properties of functional interactions within the motor network. Therefore, these findings may contribute to understanding motor deficits after stroke.

以往的研究表明，运动系统的静息状态功能连通性和功能拓扑结构的变化是运动中风的特征。此外，最近的报告表明，运动区域之间的时变连通性对运动损伤及其恢复至关重要。然而，目前尚不清楚运动网络的拓扑组织在多大程度上表现出可能与运动中风后运动缺陷临床相关的时间动态。目的结合图论方法和动态功能连通性MRI来识别动态中央运动节点，即与运动损伤相关的时变拓扑特性的运动区域，并表征脑卒中后运动系统区域之间的动态相互作用。方法采集20例急性右半脑卒中患者静息状态fMRI数据（17例缺血性/3例出血性），NIHSS评分范围为1 ~ 22（平均=10.05，SD=5.58）。动态功能连通性估计使用滑动窗口方法应用于运动网络的区域。然后，在每个滑动窗口处计算时变节点间中心性，定义为网络中涉及该节点的所有最短路径的部分。然后，通过将给定节点表现出高中心性（即高中心性模式）的时间与上肢损伤程度相关联来表征动态中枢运动节点。最后，通过表征运动网络的最短路径，研究了运动网络中的时变拓扑相互作用。结果在同侧初级皮层，即腹侧中央沟（vCS）前壁，发现了一个动态中枢运动节点。具体来说，严重受损的患者比受影响较小的患者在高中心性模式下停留的时间更短。此外，上肢损伤与动态网络特征相关，其特征是这种动态中央运动节点与位于左半球中央沟和辅助运动区以及右小脑的一系列区域之间的功能连接较低。结论急性运动卒中伴上肢损伤影响运动网络内功能相互作用的时变拓扑特性。因此，这些发现可能有助于理解中风后的运动缺陷。

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引用次数: 0

Altered oscillatory activity pattern during reconfiguration processes of perception–action representations in adolescents with AD(H)D 青少年AD(H)D知觉-动作表征重构过程中振荡活动模式的改变。

IF 3.6 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

Pub Date : 2025-01-01 DOI: 10.1016/j.nicl.2025.103905

Katharina Graf , Roula Jamous , Annet Bluschke , Christian Beste

Deficiencies in cognitive control have been commonly associated with AD(H)D. Yet, perception–action integration, one of the fundamental components of cognition and central to goal-directed behavior, and its underlying neurophysiological mechanisms have received little attention in AD(H)D research. An investigation of these mechanisms might help to aim for a more comprehensive understanding of neuropsychological models of the disorder, and by that help to provide insights into how cognitive control and executive functioning deficits may arise in AD(H)D. In the current study, we therefore examined both behavioral performance and oscillatory activity of perception–action integration processes in children and adolescents (9–17 years of age) with AD(H)D (n = 30) compared to a neurotypical control group (n = 38) using a simplified version of an established event-file paradigm. Overall, study results suggest that individuals with AD(H)D experience greater difficulties in the reconfiguration process of updating earlier established perception–action representations. Behaviorally, this was indicated not only by the poorer general performance of the AD(H)D group but especially in binding incompatible trials, namely trials requiring reconfiguration processes. Neurophysiological data indicate that behavioral deficits in AD(H)D likely develop due to a reduced ability to modulate alpha-band activity when updating existing perception–action representations, with no significant alpha-band modulated differences across task demands, rather than due to impairments in theta band modulation. By this, the study highlights the importance of modulating both theta and alpha band activity for the successful management of perception–action representations, and further supports the assumption that AD(H)D might reflect a disorder of deficient alpha band modulation.

认知控制缺陷通常与AD(H)D相关。然而，作为认知的基本组成部分之一和目标导向行为的核心，感知-行动整合及其潜在的神经生理机制在AD(H)D研究中很少受到关注。对这些机制的研究可能有助于更全面地理解这种疾病的神经心理学模型，从而有助于深入了解AD(H)D中认知控制和执行功能缺陷是如何产生的。因此，在当前的研究中，我们使用已建立的事件文件范式的简化版本，比较了AD(H)D （n = 30）儿童和青少年（9-17 岁）与神经正常对照组（n = 38）的行为表现和感知-行动整合过程的振荡活动。总体而言，研究结果表明，AD(H)D患者在更新早期建立的感知-行动表征的重构过程中遇到了更大的困难。从行为上看，这不仅表现在AD(H)D组较差的总体表现上，而且在结合不相容试验（即需要重新配置过程的试验）中表现得尤为明显。神经生理学数据表明，AD(H)D的行为缺陷可能是由于在更新现有感知-动作表征时调节α波段活动的能力降低而发展起来的，在不同的任务需求中α波段调制没有显著的差异，而不是由于θ波段调制的损伤。通过这项研究，该研究强调了调节θ和α波段活动对于成功管理感知-行动表征的重要性，并进一步支持了AD(H)D可能反映α波段调制缺陷障碍的假设。

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引用次数: 0

Corrigendum to “Quantitative susceptibility mapping in multiple sclerosis: A systematic review and meta-analysis” [Neuroimage: Clin. 42 (2024) 103598] 多发性硬化症的定量易感性图谱：系统综述和荟萃分析" [Neuroimage: Clin. 42 (2024) 103598]。

IF 3.4 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

Pub Date : 2025-01-01 DOI: 10.1016/j.nicl.2024.103693

Cui Ci Voon , Tun Wiltgen , Benedikt Wiestler , Sarah Schlaeger , Mark Mühlau

引用次数: 0

Radiomics feature similarity: A novel approach for characterizing brain network changes in patients with behavioral variant frontotemporal dementia 放射组学特征相似性：一种表征行为变异额颞叶痴呆患者脑网络变化的新方法

IF 3.4 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

Pub Date : 2025-01-01 DOI: 10.1016/j.nicl.2025.103780

Salvatore Nigro , Marco Filardi , Benedetta Tafuri , Roberto De Blasi , Maria Teresa Dell’Abate , Alessia Giugno , Valentina Gnoni , Giammarco Milella , Daniele Urso , Chiara Zecca , Stefano Zoccolella , Giancarlo Logroscino

Introduction

Network modeling is increasingly used to study brain alterations in neurological disorders. In this study, we apply a novel modeling approach based on the similarity of regional radiomics feature to characterize gray matter network changes in patients with behavioral variant frontotemporal dementia (bvFTD) using MRI data.

Methods

In this cross-sectional study, we assessed structural 3 T MRI data from twenty patients with bvFTD and 20 cognitively normal controls. Radiomics features were extracted from T1-weighted MRI based on cortical and subcortical brain segmentation. Similarity in radiomics features between brain regions was used to construct intra-individual structural gray matter networks. Regional mean connectivity strength (RMCS) and region-to-region radiomics similarity were compared between bvFTD patients and controls. Finally, associations between network measures, clinical data, and biological features were explored in bvFTD patients.

Results

Relative to controls, patients with bvFTD showed higher RMCS values in the superior frontal gyrus, right inferior temporal gyrus and right inferior parietal gyrus (FDR-corrected p < 0.05). Patients with bvFTD also showed several edges of increased radiomics similarity in key components of the frontal, temporal, parietal and thalamic pathways compared to controls (FDR-corrected p < 0.05). Network measures in frontotemporal circuits were associated with Mini-Mental State Examination scores and cerebrospinal fluid total-tau protein levels (Spearman r > |0.7|, p < 0.005).

Conclusions

Our study provides new insights into frontotemporal network changes associated with bvFTD, highlighting specific associations between network measures and clinical/biological features. Radiomics feature similarity analysis could represent a useful approach for characterizing brain changes in patients with frontotemporal dementia.

网络建模越来越多地用于研究神经系统疾病的大脑变化。在这项研究中，我们采用一种基于区域放射组学特征相似性的新型建模方法，利用MRI数据表征行为变异性额颞叶痴呆（bvFTD）患者的灰质网络变化。方法在本横断面研究中，我们评估了20例bvFTD患者和20例认知正常对照的结构3t MRI数据。基于大脑皮层和皮层下分割，从t1加权MRI中提取放射组学特征。脑区域间放射组学特征的相似性被用于构建个体内部结构灰质网络。比较bvFTD患者和对照组之间的区域平均连接强度（RMCS）和区域间放射组学相似性。最后，探讨了bvFTD患者的网络测量、临床数据和生物学特征之间的关系。结果与对照组相比，bvFTD患者在额上回、右侧颞下回和右侧顶叶下回(fdr校正p <；0.05)。与对照组相比，bvFTD患者在额叶、颞叶、顶叶和丘脑通路的关键组成部分也显示出增加的放射组学相似性(fdr校正p <；0.05)。额颞叶回路的网络测量与迷你精神状态检查分数和脑脊液总tau蛋白水平相关(Spearman r > |0.7|, p <；0.005)。结论我们的研究提供了与bvFTD相关的额颞叶网络变化的新见解，突出了网络测量与临床/生物学特征之间的特定关联。放射组学特征相似性分析可能是表征额颞叶痴呆患者大脑变化的有用方法。

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引用次数: 0

Detection of structural-functional coupling abnormalities using multimodal brain networks in Alzheimer’s disease: A comparison of three computational models 在阿尔茨海默病中使用多模态脑网络检测结构-功能耦合异常：三种计算模型的比较

IF 3.4 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

Pub Date : 2025-01-01 DOI: 10.1016/j.nicl.2025.103764

Yinping Lu , Luyao Wang , Toshiya Murai , Jinglong Wu , Dong Liang , Zhilin Zhang

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by the disconnection of white matter fibers and disrupted functional connectivity of gray matter; however, the pathological mechanisms linking structural and functional changes remain unclear. This study aimed to explore the interaction between the structural and functional brain network in AD using advanced structural–functional coupling (S-F coupling) models to assess whether these changes correlate with cognitive function, Aβ deposition levels, and gene expression. In this study, we utilized multimodal magnetic resonance imaging data from 41 individuals with AD, 112 individuals with mild cognitive impairment, and 102 healthy controls to explore these mechanisms. We applied different computational models to examine the changes in the S-F coupling associated with AD. Our results showed that the communication and graph harmonic models demonstrated greater heterogeneity and were more sensitive than the statistical models in detecting AD-related pathological changes. In addition, S-F coupling increases with AD progression at the global, subnetwork, and regional node levels, especially in the medial prefrontal and anterior cingulate cortices. The S-F coupling of these regions also partially mediated cognitive decline and Aβ deposition. Furthermore, gene enrichment analysis revealed that changes in S-F coupling were strongly associated with the regulation of cellular catabolic processes. This study advances our understanding of the interaction between structural and functional connectivity and highlights the importance of S-F coupling in elucidating the neural mechanisms underlying cognitive decline in AD.

阿尔茨海默病（AD）是一种进行性神经退行性疾病，其特征是白质纤维断开和灰质功能连接中断；然而，连接结构和功能变化的病理机制仍不清楚。本研究旨在利用先进的结构-功能耦合（S-F耦合）模型，探讨AD中结构和功能脑网络之间的相互作用，以评估这些变化是否与认知功能、Aβ沉积水平和基因表达相关。在这项研究中，我们利用41名AD患者、112名轻度认知障碍患者和102名健康对照者的多模态磁共振成像数据来探索这些机制。我们应用不同的计算模型来研究与AD相关的S-F耦合的变化。我们的研究结果表明，通信和图调和模型在检测ad相关病理变化方面表现出更大的异质性，并且比统计模型更敏感。此外，S-F耦合随着AD在全局、子网络和区域节点水平的进展而增加，特别是在内侧前额叶和前扣带皮层。这些区域的S-F偶联也部分介导了认知能力下降和Aβ沉积。此外，基因富集分析表明，S-F偶联的变化与细胞分解代谢过程的调节密切相关。这项研究促进了我们对结构和功能连接之间相互作用的理解，并强调了S-F耦合在阐明AD认知能力下降的神经机制中的重要性。

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引用次数: 0

Striato-cortical connectivity patterns predict clinical profiles in Huntington’s disease 纹状体-皮层连接模式预测亨廷顿氏病的临床特征

IF 3.4 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

Pub Date : 2025-01-01 DOI: 10.1016/j.nicl.2025.103788

Audrey E. De Paepe , Vasiliki Bikou , Eylül Turan , Alexis Pérez-Bellido , Clara Garcia-Gorro , Nadia Rodriguez-Dechicha , Irene Vaquer , Matilde Calopa , Ruth de Diego-Balaguer , Estela Camara

Background

Huntington’s disease is an inherited neurodegenerative disorder affecting striato-cortical circuits, with significant heterogeneity in the severity and progression of symptoms and neurodegenerative patterns.

Objectives

To identify how distinct functional striato-cortical connectivity signatures may predict clinical profiles in Huntington’s disease.

Methods

Thirty-eight Huntington’s disease gene expansion carriers underwent cross-sectional motor, cognitive, and behavioral assessments and multimodal MRI. Principal component analysis was employed to characterize Huntington’s disease clinical profiles. Next, seed-based whole-brain functional connectivity maps were derived for three basal ganglia seeds (caudate nucleus, putamen, nucleus accumbens) to delineate cortico-striatal connections. Multiple linear regressions assessed relationships between resulting clinical profiles and seed-based resting-state functional connectivity maps. Finally, basal ganglia gray matter volumes were examined in relation to clinical profiles and connectivity.

Results

Principal component analysis identified two main clinical profiles in Huntington’s disease: motor-cognitive and behavioral. Multiple linear regression models revealed distinct functional neural signatures associated with each profile. Motor-cognitive symptoms related with a divergent connectivity pattern, specifically decreased connectivity between the caudate and putamen with executive and premotor areas, in contrast to increased connectivity between the ventral nucleus accumbens and executive network regions. Meanwhile, the behavioral profile was linked to decreased connectivity in limbic networks. Basal ganglia atrophy was associated with increased nucleus accumbens-cortical connectivity as well as motor-cognitive symptom severity.

Conclusions

Distinct Huntington’s disease clinical profiles can be characterized by predominantly motor-cognitive or behavioral disturbances, each related with unique functional and structural brain signatures. This substantiates that striato-cortical circuits exhibit functional interaction and potential reorganization.

背景：亨廷顿氏病是一种影响纹状体-皮层回路的遗传性神经退行性疾病，在症状的严重程度和进展以及神经退行性模式上具有显著的异质性。目的确定不同的功能性纹状体-皮层连接特征如何预测亨廷顿病的临床特征。方法对38例亨廷顿病基因扩增携带者进行横断面运动、认知和行为评估，并进行多模态MRI检查。主成分分析用于表征亨廷顿氏病的临床特征。接下来，基于种子的三种基底节核种子（尾状核、壳核、伏隔核）的全脑功能连接图被导出，以描绘皮质纹状体连接。多元线性回归评估了结果临床概况和基于种子的静息状态功能连接图之间的关系。最后，检查基底神经节灰质体积与临床特征和连通性的关系。结果主成分分析确定了亨廷顿病的两个主要临床特征：运动认知和行为。多元线性回归模型揭示了与每个剖面相关的不同功能神经特征。运动-认知症状与不同的连接模式有关，特别是尾状核和壳核与执行区和运动前区之间的连接减少，而腹侧伏隔核与执行网络区域之间的连接增加。与此同时，行为特征与边缘网络连通性下降有关。基底神经节萎缩与伏隔核-皮质连通性增加以及运动-认知症状严重程度有关。结论：不同的亨廷顿舞蹈病临床特征主要表现为运动-认知或行为障碍，每种障碍都与独特的功能和结构脑特征相关。这证实纹状体-皮层回路表现出功能性的相互作用和潜在的重组。

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引用次数: 0

Partial volume effect correction impairs the diagnostic utility of [18F]-THK-5351 PET in nonfluent-agrammatic variant primary progressive aphasia 部分体积效应校正削弱了[18F]-THK-5351 PET在非流利语法变异性原发性进行性失语症中的诊断作用

IF 3.4 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

Pub Date : 2025-01-01 DOI: 10.1016/j.nicl.2025.103789

Patrick J. Sommer , Sebastian Schuster , Oliver Goldhardt , Nobuyuki Okamura , Felix Mueller-Sarnowski , Maximilian Scheifele , Florian Eckenweber , Annika Kreuzer , Maria Griessl , Peter Bartenstein , Thomas Wegehaupt , Lucas Wolski , Josef Priller , Axel Rominger , Leonie Beyer , Timo Grimmer , Matthias Brendel

Objectives

Partial volume effects in positron emission tomography occur frequently in neurodegenerative diseases due to increasing cortical atrophy during the disease course, and fronto-temporal dementia is often characterized by severe atrophy. The aim of this study was to challenge partial volume effect correction (PVEC) in patients with nonfluent-agrammatic variant primary progressive aphasia (nfv-PPA) imaged with [¹⁸F]-THK-5351 PET a marker of reactive neuroinflammatory astrogliosis as well as tau-binding.

Methods

Patients with nfv-PPA (n = 20) were imaged with [¹⁸F]-THK-5351 PET accompanied by structural magnetic resonance tomography imaging (MRI). Region specific cortical grey matter volumes and standard uptake value ratios (SUVr) of the Hammers atlas were compared with eight healthy control (HC) (n = 8) data before and after performing region-based voxel-wise PVEC. We evaluated regional coefficients of variance (CoV) and the number of regions with significant [¹⁸F]-THK-5351 PET signal differences between nfv-PPA and controls before and after PVEC. Additionally, a blinded visual read was performed by three nuclear medicine physicians (consensus) before and after PVEC.

Results

Prior to PVEC, [¹⁸F]-THK-5351 tracer uptake was significantly higher in the bilateral frontal cortex of patients with nfv-PPA when compared to HC (left > right), despite significant grey matter atrophy in the same brain regions in patients with nfv-PPA. SUVr differences between nfv-PPA and HC were further increased by PVEC in frontal brain regions, but group level variance increased in parallel and reduced the number of significant differences between SUVr of nfv-PPA and HC (uncorrected: 10 significant regions, CoV[nfv-PPA]: 20.8 % ± 4.7 %, CoV[HC]: 7.9 % ± 2.4 %/PVEC: 3 significant regions, CoV[nfv-PPA]: 28.4 % ± 8.9 %, CoV[HC]: 9.8 % ± 2.5 %). Sensitivity/specificity of the visual read for detection of nfv-PPA was 0.85/1.00 without PVEC and 0.85/0.75 with PVEC.

Conclusions

[¹⁸F]-THK-5351 PET facilitates detection of pathological alterations in patients with nfvPPA with severe atrophy. PVEC increases quantitative SUVr differences between patients with nfv-PPA and HC but introduces a parallel increase of variance at the group level. Visual assessment of [¹⁸F]-THK-5351 images in patients with nfv-PPA is impaired by PVEC due to loss of specificity and does not support the use of PVEC even in patients with severe atrophy.

目的在神经退行性疾病中，由于皮层萎缩的增加，正电子发射断层扫描的部分体积效应经常发生，额颞叶痴呆通常以严重萎缩为特征。本研究的目的是挑战用[18F]-THK-5351 PET成像的非流畅语法变异性原发性进行性失语症（nfv-PPA）患者的部分体积效应矫正（PVEC），这是反应性神经炎性星形胶质细胞增生和tau结合的标志物。方法20例nfv-PPA患者采用[18F]-THK-5351 PET伴磁共振成像（MRI）成像。在进行基于区域的体素PVEC之前和之后，将hammer图谱的区域特异性皮质灰质体积和标准摄取值比（SUVr）与8个健康对照（HC）（n = 8）数据进行比较。我们评估了PVEC前后nfv-PPA与对照之间的区域方差系数（CoV）和具有显著[18F]-THK-5351 PET信号差异的区域数量。此外，在PVEC前后，由三名核医学医师（共识）进行盲法视觉阅读。结果在PVEC之前，nfv-PPA患者的双侧额叶皮层[18F]-THK-5351示踪剂摄取明显高于HC(左>；右)，尽管nfv-PPA患者的相同脑区有明显的灰质萎缩。脑额区PVEC进一步增加了nfv-PPA与HC之间的SUVr差异，但组水平方差平行增加，减少了nfv-PPA与HC之间SUVr的显著差异数（未校正：10个显著区，CoV[nfv-PPA]: 20.8%±4.7%,CoV[HC]: 7.9%±2.4% /PVEC: 3个显著区，CoV[nfv-PPA]: 28.4%±8.9%,CoV[HC]: 9.8%±2.5%）。无PVEC目测法检测nfv-PPA的灵敏度/特异性为0.85/1.00，有PVEC目测法检测nfv-PPA的灵敏度/特异性为0.85/0.75。结论[18F]-THK-5351 PET有助于检测严重萎缩的nfvPPA患者的病理改变。PVEC增加了nfv-PPA和HC患者之间的定量SUVr差异，但在组水平上引入了平行增加的方差。nfv-PPA患者对[18F]-THK-5351图像的视觉评估由于特异性丧失而受到PVEC的损害，即使在严重萎缩的患者中也不支持使用PVEC。

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引用次数: 0

Tell me why: A scoping review on the fundamental building blocks of fMRI-based network analysis 告诉我为什么：对基于fmri的网络分析的基本构建模块的范围审查

IF 3.4 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

Pub Date : 2025-01-01 DOI: 10.1016/j.nicl.2025.103785

Z. van der Pal , L. Douw , A. Genis , D. van den Bergh , M. Marsman , A. Schrantee , T.F. Blanken

Understanding complex brain-behaviour relationships in psychiatric and neurological conditions is crucial for advancing clinical insights. This review explores the current landscape of network estimation methods in the context of functional MRI (fMRI) based network neuroscience, focusing on static undirected network analysis. We focused on papers published in a single year (2022) and characterised what we consider the fundamental building blocks of network analysis: sample size, network size, association type, edge inclusion strategy, edge weights, modelling level, and confounding factors. We found that the most common methods across all included studies (n = 191) were the use of pairwise correlations to estimate the associations between brain regions (79.6 %), estimation of weighted networks (95.3 %), and estimation of the network at the individual level (86.9 %). Importantly, a substantial number of studies lacked comprehensive reporting on their methodological choices, hindering the synthesis of research findings within the field. This review underscores the critical need for careful consideration and transparent reporting of fMRI network estimation methodologies to advance our understanding of complex brain-behaviour relationships. By facilitating the integration between network neuroscience and network psychometrics, we aim to significantly enhance our clinical understanding of these intricate connections.

了解精神病学和神经学疾病中复杂的脑-行为关系对于提高临床洞察力至关重要。本文综述了基于功能磁共振成像（fMRI）的网络神经科学背景下网络估计方法的现状，重点是静态无向网络分析。我们专注于在一年内（2022年）发表的论文，并描述了我们认为网络分析的基本构建模块：样本量、网络大小、关联类型、边缘包含策略、边缘权重、建模水平和混杂因素。我们发现，在所有纳入的研究（n = 191）中，最常见的方法是使用两两相关来估计大脑区域之间的关联（79.6%），估计加权网络（95.3%）和估计个人水平的网络（86.9%）。重要的是，大量研究缺乏对其方法选择的全面报告，阻碍了该领域内研究结果的综合。这篇综述强调了对fMRI网络估计方法的仔细考虑和透明报告的迫切需要，以促进我们对复杂大脑行为关系的理解。通过促进网络神经科学和网络心理测量学之间的整合，我们的目标是显著提高我们对这些复杂联系的临床理解。

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引用次数: 0